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Paper Citation Record · LEDGER

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain

As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2509.00510.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.00510 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:38:18.197913Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

  • verified exact2
  • verified fuzzy35
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation feb1beba-b064-403d-85f9-4353cde496ae · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 139e065d-07fe-46f5-b416-a9d7b82f08c8 · outbound

This paper cites Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:28.444448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:12.770656Z digest=sha256:7edf34e819de77f3c3d36618acee8c7b0c1b3308b73e614f6f2f0f5b937a407e

Observation 2fb39ce3-57de-4a75-9289-792bc6b07640 · outbound

This paper cites Multi-Agent Collaboration Mechanisms: A Survey of LLMs.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Multi-Agent Collaboration Mechanisms: A Survey of LLMs

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:12.885384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:12.885384Z digest=sha256:9e2dd621bd1bf2dc692a9c84537906ab64cf23e801c9bcb91f0aa004281f26db

Observation 27b1842f-445e-4611-bfe2-83fdf97471c9 · outbound

This paper cites Multi-agent systems powered by large language models: applications in swarm intelligence.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Multi-agent systems powered by large language models: applications in swarm intelligence

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:28.234792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:13.022638Z digest=sha256:7e3104714b6b3528481e39b393bd27875ece42cf13d588187839bb5ff7d9dac3

Observation 46dd2144-ae17-4b2c-8793-d2c664e0f5fc · outbound

This paper cites A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:13.126087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:13.126087Z digest=sha256:9504c5e83ca9f5f93e967ba6ba7bec01537453ac1caed784cd746c24aa571b23

Observation d9676da9-96a9-4ba1-af56-06828ea5ce99 · outbound

This paper cites Emergent analogical reasoning in large language models.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Emergent analogical reasoning in large language models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:27.968347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:13.226747Z digest=sha256:ebc42de42df32ece5a89b62bf1d3153fa793e98637d9ccd99abf190aab98586d

Observation 92fdb9ce-055b-491b-b4bb-43e060405b5c · outbound

This paper cites Llm4pm: A case study on using large language models for process modeling in enterprise organizations.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Llm4pm: A case study on using large language models for process modeling in enterprise organizations

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:27.624765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:13.298926Z digest=sha256:5b8347f0192e70e00bae875281783f49668fa785215898b486d9ff90af35b2f6

Observation 5b321ef5-5c95-4b11-8472-ae0a904adc17 · outbound

This paper cites Large Language Models for Manufacturing.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Large Language Models for Manufacturing

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:13.376756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:13.376756Z digest=sha256:3d7253946ce8b9dbc23f734b8680e67c3614b619967f3e26df95bf5b6e7e91d5

Observation 65779c9f-52e2-448f-9622-65559d6e6c25 · outbound

This paper cites New directions for artificial intelligence: human, machine, biological, and quantum intelligence.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain New directions for artificial intelligence: human, machine, biological, and quantum intelligence

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:27.418766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:13.450277Z digest=sha256:1de92e3e4cfa1928b7fffb026539791c93f3323dc520966c838a16890c6477f2

Observation 91f6790f-9175-4732-8c2c-c891d2efadb1 · outbound

This paper cites an unresolved cited work.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:38:27.120964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:13.556172Z digest=sha256:99f84c9889852f409159c27be61eb7ded5c96747a583ea4d38d4620154a22158

Observation 623980d2-f74d-44cb-bb6f-40335db53d44 · outbound

This paper cites Artificial general intelligence for medical imaging analysis.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Artificial general intelligence for medical imaging analysis

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:26.803184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:13.666197Z digest=sha256:512420e9142d1d3ab864270fdc7bd3af27b4e11c421ef7382bc7a2ef93e84892

Observation ea7c3604-0f93-4d69-ae23-d091adb0671d · outbound

This paper cites A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:26.577596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:13.768418Z digest=sha256:d73f0e79934eac8861fff90bad453b394c9428a446b22e5e60aa374d09a5bd91

Observation 65ff6d22-55d1-42f3-95b3-e7b6740e2d13 · outbound

This paper cites Collaborative problem-solving with llm: a multi-agent system approach to solve complex tasks using autogen.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Collaborative problem-solving with llm: a multi-agent system approach to solve complex tasks using autogen

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:26.353420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:13.874827Z digest=sha256:feab3cc7ed0e1970dd8f30b044ba840039100f8162213621960ff6f8e4e02dfd

Observation 4a5c17a9-e9fd-459f-98a7-160544071bd0 · outbound

This paper cites Training language models to follow instructions with human feedback.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Training language models to follow instructions with human feedback

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:13.969141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:13.969141Z digest=sha256:2b9f1418503fe093c12970f21af524bea804ec8540507a0ae23ead644c720066

Observation 02d091e6-2f2c-4343-ab10-a6d664fd8d69 · outbound

This paper cites Weigang, A.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Weigang, A

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:26.074873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:14.090380Z digest=sha256:88ea3f9e780cb487c37cbdedeb57110875fa641e0a1a0f0f7d54c81b66ae1e44

Observation e0241102-0fd6-4c8f-84ac-03c00a52d5f9 · outbound

This paper cites Artificial Brain: No Longer Fantasy.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Artificial Brain: No Longer Fantasy

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:25.795533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:14.181752Z digest=sha256:22976ab4310ef4940714c2da1ad6890a15ffcc7ad36dda8413253342571e804a

Observation fe0581a9-3eef-4f40-9dad-2f72f1db2853 · outbound

This paper cites Two paths for a.i.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Two paths for a.i

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:25.595935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:14.269226Z digest=sha256:f902319aaf75774630a58eeeb91f0136e0beefe14e0da4bf595fe334bf3e09cc

Observation 19a12dd2-26f4-4316-badd-87a77fbcf186 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Generative agents: Interactive simulacra of human behavior

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:14.392049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:14.392049Z digest=sha256:4df5a838fec0d1ec0699183a5266ac7c5ffec547f2a7e4ea3bc65caeddbfe53a

Observation 5506cc14-7457-417a-9fbb-58316cd6a1d3 · outbound

This paper cites Using large language models to simulate multiple humans and replicate human subject studies.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Using large language models to simulate multiple humans and replicate human subject studies

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:14.514795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:14.514795Z digest=sha256:0ad4f2922c02ec1c748a77f263c5ffda58c46f7d04809ba664eff827ed9e7df7

Observation cf948f42-0557-42d8-b31f-9dbdcee09467 · outbound

This paper cites Can ai replace human subjects? a large-scale replication of psychological experiments with llms.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Can ai replace human subjects? a large-scale replication of psychological experiments with llms

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:25.339560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:14.649213Z digest=sha256:1212e7251a52877a615a267487f4ab288aa8f79314f4b591a6b999ff4a2eb628

Observation ca45bc19-8599-4e02-9189-6ee3e55d29bb · outbound

This paper cites How large language models can reshape collective intelligence.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain How large language models can reshape collective intelligence

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:25.034868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:14.745182Z digest=sha256:6e97976e5d44cb46cf3713ae896b9bf6dcb0fe643bf7061bcd73a004fa3eab0b

Observation 7ea9a6f7-4790-4cc5-acc1-122d6cd1e8ac · outbound

This paper cites Wisdom of the machines: Exploring collective intelligence in llm crowds.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Wisdom of the machines: Exploring collective intelligence in llm crowds

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:24.728824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:14.882880Z digest=sha256:29804dfa7b644d53c88fbe1c5dcad51415f2403f77685eecfe69f260072b88c4

Observation d7d9f6ca-3642-412b-89dd-a3b28ab071e2 · outbound

This paper cites Collective Reasoning Among LLMs: A Framework for Answer Validation Without Ground Truth.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Collective Reasoning Among LLMs: A Framework for Answer Validation Without Ground Truth

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:15.035876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:15.035876Z digest=sha256:3b751b6311304303d57fbc651f4d1131b56efa0dca8ba79096d2675924d98320

Observation 8cbc866a-6a22-4fc0-a711-398e33fc1af8 · outbound

This paper cites Agent-based human behavior modeling for crowd simulation.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Agent-based human behavior modeling for crowd simulation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:24.384772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:15.167951Z digest=sha256:d4f1fd6fd4ef419e3d1edfaa3852e82e92c1bb89d1a57abb2f3cf2aa7065041b

Observation 5e514268-c3e1-4665-bcb4-dd8e94c1dca5 · outbound

This paper cites We are raising a tiger: Waic 2025 keynote.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain We are raising a tiger: Waic 2025 keynote

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:24.084768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:15.318906Z digest=sha256:8d8cc04c62d150c1cbe07fa054fce6177b2a8463a2fb808b76572239fd2292f8

Observation 153907ee-fc4d-426d-b24a-3b0f28215267 · outbound

This paper cites China proposes global framework for benevolent ai at waic 2025.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain China proposes global framework for benevolent ai at waic 2025

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:23.744763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:15.457165Z digest=sha256:bdf2f10eb566e2841c2928fabde70fe4639f6b4998ddd474e62b689e33511419

Observation ca81831a-11ca-41f5-8207-b3898c07cd9a · outbound

This paper cites Genetic algorithms and game theory for airport departure decision making: Gedman and codman.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Genetic algorithms and game theory for airport departure decision making: Gedman and codman

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:23.414766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:15.585213Z digest=sha256:8df09164c3bf2bebbc49b9e349ced118e19297d0887c5d6b14dfa1ea9485cb0e

Observation 39af45ba-d009-4ced-a82d-43b9644e980c · outbound

This paper cites Dynamic super round-based distributed task scheduling for uav networks.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Dynamic super round-based distributed task scheduling for uav networks

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:22.984761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:15.718689Z digest=sha256:9641872eff5cda4d811e1e8df4336fb73a62f77e2db08bddc76c9c7650a2aa50

Observation af466e67-dab9-4e92-a36b-3c12348043d0 · outbound

This paper cites Multi-objective routing optimization in electric and flying vehicles: a genetic algorithm perspective.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Multi-objective routing optimization in electric and flying vehicles: a genetic algorithm perspective

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:22.614873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:15.835537Z digest=sha256:7825d1349926ac3a3a1ed8db67b1616c41c6d68f29d9895e91855f08c6d10b8c

Observation 9fe6a22a-9af2-4b3c-8edd-0dc9a3ca085b · outbound

This paper cites Swarm intelligence.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Swarm intelligence

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:22.244834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:15.927930Z digest=sha256:f0119827cc6abbc7680b431a7dd8fdf277e79cce22b978c8037effbe1270f259

Observation f0e7d6c1-c5e1-4520-9623-26e51ed4348a · outbound

This paper cites Swarm intelligent systems, volume 26.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Swarm intelligent systems, volume 26

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:21.927494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:16.006452Z digest=sha256:aaa50bff7b9cf9f3037274ae9e6ec89437c0236daf220bbdd2683ded0917c70a

Observation 46f66b3c-8177-4124-ad4b-cefa682819af · outbound

This paper cites Using ant algorithm to arrange taxiway sequencing in airport.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Using ant algorithm to arrange taxiway sequencing in airport

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:21.668367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:16.139105Z digest=sha256:bfc10637d14aa0cebd1f8d897d0395771045a37e7f32a3c68acf3ad7b7d90bde

Observation 4e2c5ca9-3e4a-4da4-8d23-a72524f866c6 · outbound

This paper cites A review: Swarm robotics: Cooperative control in multi-agent systems.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain A review: Swarm robotics: Cooperative control in multi-agent systems

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:21.385231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:16.292921Z digest=sha256:2ce5f8702f37cd37e589a050803a69e4f8d4b89f22525ae2e356b1b6d75ae2d9

Observation 3dbfd09e-bdde-4461-ae22-c6369a2a753b · outbound

This paper cites Deep reinforcement learning from human preferences.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Deep reinforcement learning from human preferences

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:21.126962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:16.381993Z digest=sha256:7e074a6d99f15b0cda9154652d3df0448c77d045a28263d60d3563c2c800679b

Observation 0c2eb528-797b-4136-b58c-e9e95fe78b24 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:16.446804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:16.446804Z digest=sha256:8adf5a198ce08c5154c5996b7c759286dcf258e42d7f623d0556b6bb2d36183d

Observation c2d5adf6-259d-49ec-bad8-dd5dd2b3a2dd · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Self-refine: Iterative refinement with self-feedback

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:20.941415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:16.552232Z digest=sha256:cafa001953a7bc3d874127111d87e5e759f250136ea90c1594f6feb1d0564740

Observation f4a74c32-f942-494e-8781-36c13190b142 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Distilling the Knowledge in a Neural Network

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:16.627131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:16.627131Z digest=sha256:9b7d0f9c12e1d635c5d541a54a8e8fe4000b45e299978d19874db47658d54bcc

Observation eef5fe25-aa72-4832-ab59-30b45056ae05 · outbound

This paper cites A survey on knowledge distillation: Recent advancements.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain A survey on knowledge distillation: Recent advancements

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:20.672253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:16.737669Z digest=sha256:6793e32a0c456e11835798da05c9d85b2fe9c1b85e91b4f65f54824f54437847

Observation 25f92f79-a4e1-41da-a9db-6ffa8ca47d4e · outbound

This paper cites Raft: Adapting language model to domain specific rag.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Raft: Adapting language model to domain specific rag

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:16.881896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:16.881896Z digest=sha256:2849f2253e5d8b12dcb2d9ff402bd12387e7ee0b991dedd087d9b563c7900414

Observation 545af7f5-4bbd-411e-95d1-f2e749e075ad · outbound

This paper cites Slim-raft: A novel fine-tuning approach to improve cross-linguistic performance for mercosur common nomenclature.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Slim-raft: A novel fine-tuning approach to improve cross-linguistic performance for mercosur common nomenclature

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:20.424761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:16.996334Z digest=sha256:36d09fb0812bd7424943f4fb8638d37f2bab5a2bed2e667f92b1567d8b4cbb10

Observation e1fd4f4d-7d44-466c-a1ae-f4113d083885 · outbound

This paper cites Llmquoter: enhancing rag capabilities through efficient quote extraction from large contexts.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Llmquoter: enhancing rag capabilities through efficient quote extraction from large contexts

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:20.238773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:17.142808Z digest=sha256:3c51f8e0bc94cd5bf0bd6fba6fb4a840b720a890dd7b1af68cf33910ea9621e2

Observation 3da71dff-8076-49e8-93ac-dff0cf70804a · outbound

This paper cites The Paradox of Poetic Intent in Back-Translation: Evaluating the Quality of Large Language Models in Chinese Translation.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain The Paradox of Poetic Intent in Back-Translation: Evaluating the Quality of Large Language Models in Chinese Translation

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:38:18.696175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:17.242433Z digest=sha256:1c5ddd28451d50cb111f163fc5e65cee36b6afbf6736762c737863bde3c5e5b8

Observation 554d1c08-92b0-44d5-9fda-b6c8f8550134 · outbound

This paper cites A Study of Parallel Self-Organizing Map.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain A Study of Parallel Self-Organizing Map

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:38:18.526398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:17.351934Z digest=sha256:0047eba1795af4bf1c040c132c4f16e28a75480c496a5c900e24050f0db24998

Observation f96646f7-7e8f-4685-903e-f03413ea7628 · outbound

This paper cites A study of parallel neural networks.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain A study of parallel neural networks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:19.986575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:17.448180Z digest=sha256:55d2fc22030a906893b10cb55f0e6af66a11cbb9e402d2aed7d0cd60384f1b6e

Observation 5e85e9f4-bfb3-4667-97d5-d7b722a2a563 · outbound

This paper cites A bayesian approach to unsupervised one-shot learning of object categories.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain A bayesian approach to unsupervised one-shot learning of object categories

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:19.795962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:17.528701Z digest=sha256:98c9438ad4c2bbc3abd9ad84b7498f8b53691d773630146fdc16426c3e0de4fc

Observation e6c81ff2-f630-4962-b3da-1333484f3256 · outbound

This paper cites Language models are few-shot learners.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Language models are few-shot learners

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:17.655349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:17.655349Z digest=sha256:49fe8c27d0277e973551ab84a00967d9a985d81ead99b8a6e7a1cd024eab6ebd

Observation 060e2587-84ce-4545-9e2b-dbf1b08efc26 · outbound

This paper cites You only look once: Unified, real-time object detection.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain You only look once: Unified, real-time object detection

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:19.414024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:17.726340Z digest=sha256:06279c7140e2e9bc153ac9b605f79594127135160fe654b8a498663cf1770be7

Observation 09a8cf85-3c36-4f4d-bdfe-57f8fae1716b · outbound

This paper cites Once learning for looking and identifying based on yolo-v5 object detection.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Once learning for looking and identifying based on yolo-v5 object detection

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:19.130683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:17.826993Z digest=sha256:06762237dd09caf4a3c69d37dfcfe7b56783a2e3da31b7f93e746552f4334924

Observation 687f8248-2ac8-44ab-9430-dc2ba7537a1a · outbound

This paper cites Benchmarking human--ai collaboration for common evidence appraisal tools.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Benchmarking human--ai collaboration for common evidence appraisal tools

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:18.906109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T13:38:17.938051Z digest=sha256:767ba2b69dc3ad5f793ce12fd566a535791917c52c8e0a01f43e7f7262672126

Observation 7b020a97-e233-4bb2-a7ab-43a7217e7cfb · outbound

This paper cites Improving language models by retrieving from trillions of tokens.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Improving language models by retrieving from trillions of tokens

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:18.045820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:18.045820Z digest=sha256:1fdaa07fa7ca34af3ebf896f08541a766f0a500b890f86a42abbb5e8844ab7da

Observation b921e120-8448-4281-9570-6181de3c7208 · outbound

This paper cites TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:18.197913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:18.197913Z digest=sha256:9c27370aee8e6aa93191d46fcfbe08ec9c8c7d747aa6500e61b526d33b261f75

Pith citing papers

No inbound Pith citation observations are available.